ThermoPore: Predicting part porosity based on thermal images using deep learning

被引：0
|
作者：
Pak, Peter [1 ]
Ogoke, Francis [1 ]
Polonsky, Andrew [2 ]
Garland, Anthony [2 ]
Bolintineanu, Dan S. [2 ]
Moser, Dan R. [2 ]
Arnhart, Mary [2 ]
Madison, Jonathan [2 ]
Ivanoff, Thomas [2 ]
Mitchell, John [2 ]
Jared, Bradley [3 ]
Salzbrenner, Brad [2 ]
Heiden, Michael J. [2 ]
Barati Farimani, Amir [1 ,4 ]
机构：
[1] Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh,PA, United States
[2] Sandia National Laboratories, United States
[3] The University of Tennessee Knoxville, United States
[4] Machine Learning Department, Carnegie Mellon University, Pittsburgh,PA, United States
来源：
Additive Manufacturing | 2024年 / 95卷
关键词：
Compendex;
D O I：
10.1016/j.addma.2024.104503
中图分类号：
学科分类号：
摘要：
Thermography (imaging)
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